Data Engineering

Data platform interviews test CDC, streaming, warehouse modeling, and trade-offs two levels deep — no generic system-design book covers it. This one does: 50 full mock interviews, 122 rapid-fire Q&A, and the framework that turns a vague prompt into a hire.

The behavioral interview is where senior data offers are won, lost, and leveled — and it's the round engineers prepare for least. This book turns your real career into answers that survive any follow-up: 7 competencies, 300+ real questions, company playbooks, 30 scored mock interviews, and AI-assisted preparation — built specifically for data engineers and architects.

Discover how to make Python data processing faster, leaner and ready to scale with Polars. Starting with the basics, this practical guide takes you all the way to production-grade pipelines for massive datasets, with clear explanations of how Polars works, why it is fast and how to get the best performance from it.

Discover how to build fast, elegant and reliable software with Julia. Starting from the basics, this book guides you through real-world projects, performance optimization and production-ready techniques. Whether you work in data science, engineering or research, you'll gain the skills to write Julia code with confidence.

Whether you're opening R for the first time or ready to tackle real data projects, this book helps you build practical skills that stick. Follow clear lessons, hands-on examples and complete code as you progress from the basics to data visualization, machine learning, web apps and professional R workflows.

SQLite is everywhere but running it well in production takes more than flipping a few settings. This book goes beyond the basics to show how SQLite really works, then walks through the patterns, tools and tradeoffs behind reliable, high-performance deployments. Packed with practical examples, it's built for engineers who want confidence in production.

Build a complete data pipeline from scratch — no cloud signup needed. Fifteen chapters covering ingestion, loading, data modeling, dbt, Airflow, data quality, streaming, observability, and performance optimization. Everything runs locally with Python and DuckDB.

Markets are not static rows. This book shows how to turn fragmented public and private evidence into an answerable, versioned map of who exists, who fits, why now, and who to contact—without hiding uncertainty, provenance, or change.

PyTorch Deep Dive is a practical guide to mastering modern deep learning with PyTorch. From core concepts to advanced topics like transformers, diffusion models, and production deployment, it combines clear explanations, hands-on examples, and real-world best practices to help you build and scale AI applications with confidence.

Move beyond the API. Dismantle the AI black box and build generative engines from scratch with pure Python and NumPy. Master the profound geometric principles and applied mathematics driving LLMs and Transformers. Transform from a mere consumer into an elite AI innovator by writing the core mathematical architecture yourself—no shortcuts, no frameworks, just pure engineering excellence.

ES|QL is a fresh, piped language with its own compute engine, built for the way people actually think. You start with a source, then chain small, clear steps with a single pipe, just like you would at a command line. Filter, transform, aggregate, search, enrich, and rank, all in one easy-to-read line that goes from top to bottom like a sentence.

Behind every secure network lies an unbreakable mathematical truth. 'The Guardian Algorithms' bridges the gap between pure math and cutting-edge cyber defense. Step into the mind of a digital architect to decode the formulas that outsmart hackers, lock down infrastructure, and rewrite the rules of modern warfare. The future of security isn't coded—it is calculated.

Unlock the secrets of artificial intelligence by mastering its core foundation. This practical guide teaches you how to design, code, and optimize neural networks from the ground up without relying on complex libraries. It is the ultimate resource for developers ready to truly understand the math and logic behind the code.

Today, AI and machine learning are driven by statistical thinking. As many leading experts emphasize, without a solid understanding of statistics, you cannot truly understand, evaluate, or safely use AI. This book gives you that edge.

What's inside:33 ranked optimization patterns from foundational table design through advanced governance. A complete partition and clustering playbook with six Tier 1 patterns.Shuffle reduction techniques built around five patterns that eliminate the most expensive operations. The On-Demand vs Reservations decision framework with diagnostic SQL.A full Guardrails Playbook